Simulations

Simulations

Shaping technology for the future together!

When considering and planning the construction or conversion of new process plants, questions always arise regarding plant performance and environmental impact (e.g. CO₂ footprint). We carry out plant simulations to provide reliable answers to these questions and those relating to fuel yield or emission behavior.
Simulations enable realistic predictions of plant behavior and create a reliable basis for optimization decisions.

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I am looking forward to answering your questions

Lukas Haffner is your expert concerning simulations

Key Takeaways

  • Simulations make it possible to predict system behavior, efficiency and emissions as early as the planning phase.
  • Dynamic simulation allows load changes, faults and control behavior to be analyzed realistically.
  • Simulations create a clear decision-making basis for plant construction, optimization and expansions.
  • The use of large amounts of data and systematic methods leads to reliable and practical results.
  • Simulations can be used to reduce risks and validate optimizations reliably before implementation.

FAQ on simulations

Simulations in process engineering are model-based analyses that are used to virtually simulate the behavior of systems under different operating conditions. They make it possible to evaluate performance, efficiency and critical states even before real implementation.

Simulations provide reliable information about system performance, efficiency and emissions. This allows well-founded decisions to be made as early as the planning or optimization phase.

Among other things, the system configuration, operating states and control behavior in the event of load changes or faults are examined. This allows the behavior of the system to be predicted realistically.

Dynamic simulations show how systems change under real operating conditions, e.g. in the event of load changes or malfunctions. This allows critical situations to be identified at an early stage.

Yes, simulations are also used in optimization projects and capacity expansions to reliably evaluate and improve the expected performance.

By using large amounts of data and systematic models, simulations provide well-founded and practical results that enable optimization measures to be implemented reliably.

We simulate the planned system configuration and system states as well as the control behavior, particularly during normal load changes during operation and in the event of faults. This enables us to accurately predict whether effectiveness and efficiency are guaranteed for the existing concept and whether critical situations will occur or how the system will then behave.

In optimization projects or capacity expansions, we also eliminate ambiguities with regard to the expected performance by means of dynamic simulation.

Our consistently systematic approach is based on handling large amounts of data and guarantees meaningful results in terms of the problem and beyond. As a client, as well as a contractor, you can confidently implement and commission an optimization after a successful simulation.

The following example shows the simulation of the O₂ concentration – at 6:00 a switchover is made to the control to be tested.

O2 simulation

Regardless of whether you already have specific issues to address or just started idea phase or concept development – we are happy to support you in an initial exchange. We look forward to hearing from you!

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